Maxwell Kramer
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Hematology top 5%
- Iron Metabolism and Disorders
Papers in ⓘ
- Aging 8
- Genetics, Aging, and Longevity in Model Organisms 8
- Co-authors
- Caroline Enns (1 shared paper)An‐Sheng Zhang (1 shared paper)Hidekazu Tsukamoto (1 shared paper)Junwei Gao (1 shared paper)Juxing Chen (1 shared paper)Sevinç Ercan (8 shared papers)Sarah Elizabeth Albritton (7 shared papers)Lara Winterkorn (4 shared papers)
- Journals
- Genetics (4 papers)Cell Metabolism (1 paper)Molecular Oncology (1 paper)Current Biology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Maxwell Kramer
19 papers receiving 758 citations
Peers
Comparison fields: 5 of 89
- Aging 172
- Hematology 233
- Genetics 187
- Nutrition and Dietetics 169
- Endocrine and Autonomic Systems 38
Countries citing papers authored by Maxwell Kramer
This map shows the geographic impact of Maxwell Kramer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maxwell Kramer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxwell Kramer more than expected).
Fields of papers citing papers by Maxwell Kramer
This network shows the impact of papers produced by Maxwell Kramer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maxwell Kramer. The network helps show where Maxwell Kramer may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxwell Kramer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 255 | |
| 2 | 2007 | 103 | |
| 3 | 2014 | 80 | |
| 4 | 2013 | 65 | |
| 5 | 2019 | 57 | |
| 6 | 2015 | 34 | |
| 7 | 2008 | 33 | |
| 8 | 2020 | 25 | |
| 9 | 2018 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2022 | 17 | |
| 12 | 2016 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2020 | 2 | |
| 19 | 2022 | 1 |
About Maxwell Kramer
Maxwell Kramer is a scholar working on Aging, Information Systems and Management, Molecular Biology, Biochemistry and Statistics and Probability, having authored 19 papers that have together received 763 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), DNA Repair Mechanisms (2 papers) and Esophageal Cancer Research and Treatment (2 papers). The work is most often cited by research in Aging (172 citations), Hematology (233 citations), Genetics (187 citations), Nutrition and Dietetics (169 citations) and Endocrine and Autonomic Systems (38 citations). Maxwell Kramer has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Caroline Enns, An‐Sheng Zhang, Hidekazu Tsukamoto, Junwei Gao, Juxing Chen, Sevinç Ercan, Sarah Elizabeth Albritton, Lara Winterkorn, Elizabeth X. Kwan and Greg J. Hermann. Their work appears in journals such as Genetics, Cell Metabolism, Molecular Oncology, Current Biology and PLoS Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.